Multiple Imputation using Weighted Quantile Sum Analysis

Consider a set/mixture of continuous, correlated, and censored components/chemicals that are reasonable to combine in an index and share a common outcome. These components are also interval-censored between zero and upper thresholds, or detection limits, that may be different among the components. The `miWQS` package applies the multiple imputation (MI) procedure to the weighted quantile sum regression (WQS) methodology for continuous, binary, or count outcomes. In summary, MI consists of three stages: (1) imputation, (2) analysis, and (3) pooling. First, the missing values are imputed by bootstrapping (Lubin et.al (2004) ), Bayesian imputation, or placing the below the detection limits in the first quantile (BDLQ1) (Ward et.al. (2014) ). Second, the estimate.wqs() function implements WQS regression if the components are complete, imputed, or missing (Carrico et.al. (2014) ) . If the data is missing, BDLQ1 is automatically implemented. Lastly, the pool.mi() function calculates the pooled statistics according to Rubin's rules (Rubin 1987).


News

miWQS 0.0.9

*First Release of Package to the public. *For updates to CRAN team, see cran-comments.

  • Replaced examples using example dataset in package instead of using package wqs. Looks cleaner
  • Remove printed output from estimate.wqs.
  • Made documentation from estimate.wqs clearer.
  • Cleaned up print.wqs documentation

miWQS 0.0.8

  • Reworked plot.wqs() function by using ggplot2 instead of base plotting in R.

miWQS 0.0.7

  • Fixed bug in doing Poisson Rate WQS regressions. Added argument offset to the check_function() and randomize.train()
  • For updates to CRAN team, see cran-comments.

miWQS 0.0.0

  • Added a NEWS.md file to track changes to the package.
  • First Release of the Package to CRAN team
  • Successfully passed windows check.

Reference manual

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install.packages("miWQS")

0.0.9 by Paul M. Hargarten, 5 months ago


Report a bug at https://github.com/phargarten2/miWQS/issues


Browse source code at https://github.com/cran/miWQS


Authors: Paul M. Hargarten [aut, cre] , David C. Wheeler [aut, rev, ths]


Documentation:   PDF Manual  


GPL-3 license


Imports graphics, stats, utils, grid, coda, glm2, ggplot2, Hmisc, invgamma, rlist, Rsolnp, survival, truncnorm, tidyr

Suggests spelling, knitr, mice, pander, rmarkdown, testthat, wqs


See at CRAN